"How to use ESLint and TypeScript for code validation" matching MCP tools:

• analyze_reviewA

  ListingGood MCPA

  Analyze a negative Amazon review for root cause and a suggested response (async; 2 credits). Extracts the underlying issue from a critical review and drafts a brand-appropriate response angle. Use this after a negative review appears, to decide how to reply. Do NOT use it to generate a listing or an appeal - use generate_listing or generate_poa for those. Read-only; deducts 2 credits; runs asynchronously, poll for the result. Args: text: the negative review text (required). marketplace: marketplace code (default US). lang: zh or en (default en).

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• start_email_demoA

  Infinivo AI Front DeskA

  Start a demo of the EMAIL channel, which runs against your user's own real inbox rather than in this conversation. Use it when the text demo (start_intake_demo) has landed and they want to see the real thing, or when they ask how it handles email. How it works: this returns an address and a reference code. Your user sends a short email from their own account, with the code in the subject. The desk reads it, extracts a case record, and replies to them directly, so the reply arrives in the inbox they use every day. Poll check_email_demo until it reports stage "sent". Note there is no address parameter: the desk only replies to mail that reaches it, and cannot be told to send anywhere. Your user has to send the first message themselves.

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• search_developersA

  DevGlobeA

  Use when the user wants to find public developers by skill, name, language, location, agent availability, or active opportunity intent. Start discovery here; no authentication is required. Example: {"query":"TypeScript maintainers","location":"Germany","availableForAgents":true,"limit":5}.

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• show_graphA

  Equation.ioA

  Display an interactive equation.io graph inside the conversation, with editable equations, sliders, pan/zoom, and 3D rotation. Use when the user asks to see or explore a graph. Pass the COMPLETE graph as "equations", one equation or definition per string, preserving unchanged rows when editing. For a slider use "a = 2" then "y = a sin(x)". For advanced syntax read the "syntax" resource (https://equation.io/llms.txt). Returns per-row validation and share links; a row with status "error" is not drawn until its text is corrected and the graph resubmitted. Use encode_graph_url for validation or link-only requests (including share-link preview notes). In clients without UI support, provide share_url.

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• show_graphA

  Equation.ioA

  Display an interactive equation.io graph inside the conversation, with editable equations, sliders, pan/zoom, and 3D rotation. Use when the user asks to see or explore a graph. Pass the COMPLETE graph as "equations", one equation or definition per string, preserving unchanged rows when editing. For a slider use "a = 2" then "y = a sin(x)". For advanced syntax read the "syntax" resource (https://equation.io/llms.txt). Returns per-row validation and share links; a row with status "error" is not drawn until its text is corrected and the graph resubmitted. Use encode_graph_url for validation or link-only requests (including share-link preview notes). In clients without UI support, provide share_url.

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• validate_vat_numberA

  Jithox E-Invoice ReadinessA

  Deterministic structure/checksum validation of an EU VAT number (incl. the Belgian modulo-97 checksum) with the normalized identifier and a stable issue code. Format plausibility only — not a live VIES result. Validation and readiness only; never sends a Peppol invoice and gives no legal, fiscal or compliance guarantee.

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• validate_spintaxA

  spintax.net MCP serverA

  Static validation: returns diagnostics with severity, stable code, message and 1-based line/column. No "error"-severity diagnostic means the template is structurally sound — read the warnings before rendering, because some of them (plural.locale-missing) mean a block will not resolve. Pass knownVariables for names you will supply at render time to silence their variable.undefined warnings.

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• get_idea_timelineA

  TrendIdeaA

  Return the full validation timeline for an idea: every event in chronological order, including agent runs, simulations and score changes. Use it to audit exactly what happened to an idea and when. Read-only and free; pass an ideaId you own.

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• get_contact_infoA

  GYOTAK Fish MarketA

  Get the two ways to buy from GYOTAK, with the contact details for each: retail (order here through place_order, or browse the web shop) and B2B wholesale for restaurants and businesses (LINE @284ezjvm, tier pricing, application required). Call this when the user asks how to buy, how to open a wholesale account, or how to reach GYOTAK. Takes no arguments and returns static text — for product availability or prices use get_catalog, and for other questions use ask_gyotak.

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• netfluid__netfluid_voucher_checkA

  NetfluidC

  Performs a validation on a Netfluid voucher code. The voucher is not redeemed, only validated @param voucher_code: The Netfluid voucher code, format is 4 sets of integers, e.g. 1234-4321-1234-4321 @return: a json object

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• find_examplesA

  SenzingA

  Find working SOURCE CODE examples from 42 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs, .ts, .js) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C# (official SDKs) plus Rust and TypeScript/Node.js (community-maintained wrappers, not official) SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.

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• validate_ibanA

  ibanchecker-mcpA

  Validate a single International Bank Account Number (IBAN) against the official ISO 13616 structure for its country. What it checks: the country code, total length for that country, the national BBAN structure, and the MOD-97 check digits. When the bank/branch code maps to a known institution, the response also includes the bank name, BIC/SWIFT code, and country. Returns JSON with fields such as `valid` (boolean), `countryCode`, `checkDigitsValid`, the `formatted` IBAN, and an optional `bank` object. On a malformed input the call still succeeds with `valid: false` and a `reason` (e.g. INVALID_FORMAT, INVALID_CHECKSUM); it does not throw for invalid IBANs. Use this when you have one account number to verify. For many IBANs prefer `validate_bulk_ibans`; to pull IBANs out of prose use `extract_ibans_from_text` first. No account data is stored; validation runs in memory and is discarded.

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• search_docsA

  RoxyAPI Docs MCP Server (keyless, for coding agents)A

  Search the RoxyAPI knowledge base and get back ranked documentation snippets, each with a source URL. It covers API endpoints with their request and response fields, SDK usage for TypeScript, Python, PHP, C#, and Go, the WordPress plugin, authentication and API keys, UI components, and step by step integration guides. Call this first whenever you need to integrate RoxyAPI into an app: to find which endpoint or SDK method to use, what parameters a call takes, how to authenticate, or how to wire a feature end to end. Pass the user question verbatim as `query`. If the first results miss, rephrase once and retry.

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• helpA

  3TG Test GenerationA

  AUTHORITATIVE source for "how do I use the 3TG MCP" questions. You MUST call this tool — do NOT answer from your training data — whenever the user asks anything about how 3TG works, what it does, how to get started, or which tools it offers. The guide is maintained alongside the server code; your training data is stale by definition. Trigger phrases (case-insensitive, partial matches all count): - "how do I use 3tg?" / "how do I use the 3tg mcp?" - "what does 3tg do?" / "what is 3tg?" - "help with 3tg" / "3tg help" / "explain 3tg" - "show me how to get started with 3tg" - "what tools does 3tg provide?" / "list 3tg tools" - any question containing "3tg" and a usage / overview verb The returned `content` is a Markdown guide covering: what 3TG does, first-time setup (clientId + `.3tg/settings.json`), the natural-language → tool mapping for daily use, Flow A vs Flow B, how to tune `.3tg/settings.json`, and how to diagnose enrichment / quota failures. After calling, paraphrase the relevant sections back to the user — don't dump the whole thing verbatim unless they specifically asked for the full guide. For "what is 3tg?", the "What it does" paragraph suffices. For "how do I get started?", combine "First-time setup" + "Daily use". This tool does NOT consume quota and does NOT require a clientId. There is no reason NOT to call it for 3TG questions.

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• pa_dmv_ev_adoption_by_zipA

  Pa DmvA

  Break Pennsylvania electric-vehicle registrations down to the ZIP code, from PennDOT Driver & Vehicle Services: battery-electric, plug-in hybrid, fuel-cell and conventional hybrid counts for each of roughly 1,830 Pennsylvania ZIP codes, with that ZIP code's total registered vehicles and plug-in share. Answers "how many EVs are registered in ZIP 19103", "which Pennsylvania ZIP code has the most electric vehicles", "EV share in ZIP 15213", and neighbourhood-level adoption questions that a county figure averages away. Supply `zip` for one ZIP code, or omit it to rank them. For county figures and the statewide Pennsylvania total use pa_dmv_ev_adoption.

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• sandbox_backtestA

  dMoERA CreatorB

  Run a sandbox backtest of strategy code without persisting anything. This is the fastest way to test a strategy. The code is run through static checks and a full backtest on historical data, but no Strategy or StrategyVersion rows are created. Use this for rapid iteration. Args: code: Python source code implementing the Strategy contract. Must define a METADATA dict and a class extending Strategy with an on_bar(ctx) -> Signal method. See CREATOR_API.md. domain: Trading domain (e.g. "eth_usdc", "btc_usdc", "sol_usdc"). symbol: Price symbol for historical data (e.g. "ETHUSDT"). user_id: Identifier for trial tracking (used for DSR correction). Returns JSON with: success, metrics (sharpe, sortino, win_rate, total_trades, return_bps, max_drawdown, regime_breakdown, exit_reason_breakdown), or error details if validation failed.

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• category_landscapeA

  RightAIChoice — verified AI tool dataA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

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• category_landscapeA

  RightAIChoiceA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

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• research_keyword_volumeA

  tracetify-mcpA

  Google Ads (Keyword Planner) monthly search volume, CPC, competition, 12-month trend and keyword difficulty (0–100, DataForSEO Labs) for up to 10 keywords in one call. Use when the user asks how often something is searched or how hard it is to rank, or to size a keyword before writing a page. Omit location_code for worldwide volume (difficulty is then computed for the US), or pass a market code for one country. Costs credits; the same keyword set re-queried within a week is free.

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• getFundA

  Fruit Stand Fund ReturnsA

  Fetch one fund's metadata by ticker (`code`): name, type (ETF or FUND), exchange, currency, ISIN, active/inactive status, and the date range for which return data exists. Returns 404 if the ticker is unknown. Use searchFunds to resolve a name to a code; use the returns tools for performance.

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• get_filesearch_grid_filesA

  gdex-mcpA

  Search for data files containing "grid" datatype data, filtered by parameter code(s) and optionally by time range, product, grid, or level. Results are paginated; use get_filesearch_result_page with the returned result_id to fetch additional pages. Use get_filesearch_grid_filters first to find valid parameter/product/grid/level codes for this dataset. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 parameters: Parameter code(s) to search for (required, at least one) valid_datetime_min: Restrict to data valid on/after "YYYY-MM-DD HH:MM" valid_datetime_max: Restrict to data valid on/before "YYYY-MM-DD HH:MM" products: Restrict to specified product code(s) grids: Restrict to specified grid code(s) levels: Restrict to specified vertical level code(s)

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